Shawn Mankad

Cornell University

Assistant Professor

Ithaca, NY 14853

United States

SCHOLARLY PAPERS

6

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Scholarly Papers (6)

1.

Discovering the Ecosystem of an Electronic Financial Market with a Dynamic Machine-Learning Method

AFA 2012 Chicago Meetings Paper, Algorithmic Finance 2013, 2:2, 151-165
Number of pages: 16 Posted: 21 Mar 2011 Last Revised: 08 Oct 2013
Cornell University, University of Michigan at Ann Arbor and Imperial College London - Centre for Global Finance and Technology
Downloads 590 (36,446)

Abstract:

Trading Strategies, High Frequency Trading, Machine Learning, Clustering

2.

Do U.S. Financial Regulators Listen to the Public? Testing the Regulatory Process with the RegRank Algorithm

Robert H. Smith School Research Paper
Number of pages: 20 Posted: 12 Jan 2014 Last Revised: 30 Jun 2014
Imperial College London - Centre for Global Finance and Technology, Cornell University and University of Michigan at Ann Arbor
Downloads 433 (46,150)

Abstract:

3.

Interconnectedness in the Interbank Market

FEDS Working Paper No. 2015-090
Number of pages: 49 Posted: 17 Oct 2015
Board of Governors of the Federal Reserve System, American University, Cornell University and University of Michigan at Ann Arbor
Downloads 96 (229,026)

Abstract:

Interconnectedness, correlation network, financial crisis, interbank market, physical network

4.

Avoiding the Ambiguity with Textual Data: Topic Modeling for Linear Models

Number of pages: 17 Posted: 08 Aug 2017
Yuan Chen and Shawn Mankad
Cornell University and Cornell University
Downloads 0 (497,774)

Abstract:

5.

A Quality Value Chain Network: Linking Supply Chain Quality to Customer Lifetime Value

Kelley School of Business Research Paper No. 17-43
Number of pages: 49 Posted: 04 Jun 2017
Qiuping Yu, Masha Shunko and Shawn Mankad
Indiana University - Kelley School of Business - Department of Operation & Decision Technologies, Foster School of Business, University of Washington and Cornell University
Downloads 0 (233,879)

Abstract:

Quality Value Chain, Service Network, Customer Lifetime Value, Structural Estimation, Causal Inference

6.

Analysis of Multiview Legislative Networks with Structured Matrix Factorization: Does Twitter Influence Translate to the Real World?

Robert H. Smith School Research Paper No. RHS 2529074
Posted: 23 Nov 2014 Last Revised: 28 Aug 2015
Shawn Mankad and George Michailidis
Cornell University and University of Michigan at Ann Arbor

Abstract:

matrix factorization, networks, influence, Twitter